- Ability to import, enter, and transform data in R (k3)
- Conducting AI-assisted exploratory data analysis (k3, k4)
- Performing classical statistical tests with AI support (k3, k4)
- Using AI tools for semantic type detection and data cleaning (k3)
- Understanding how Mathematica performs symbolic and numeric computations (k2)
- Solving mathematical tasks using Mathematica (k3)
- Creating graphical representations in R and Mathematica (k3)
- Critical evaluation of AI-generated model suggestions (k4)
|
- Read, clean, transform data and create reproducible scripts
- Interpret and critically assess AI-generated summaries and visualisations
- Perform hypothesis tests in R and evaluate AI interpretations
- Apply AI for type detection, cleaning, transformation, and validate the results
- Understand core principles of symbolic and numerical computation
- Differentiation, integration, solving equation systems, root-finding
- Create statistical plots in R and function plots in Mathematica
- Assess AI-generated recommendations for model selection and feature engineering
|
